通过改进运动估计的优化 LSTM 将手语视频转换为文本

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Experimental & Theoretical Artificial Intelligence Pub Date : 2024-07-23 DOI:10.1080/0952813x.2024.2380991

Subburaj S, Murugavalli S, Muthusenthil B

引用次数: 0

摘要

手语是聋哑人的一种交流方式。掌握手语可以让说话者和听话者有效地与聋哑人交谈。然而，虽然聋哑人可以学习手语，但他们的语言能力却很有限。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Sign language video to text conversion via optimised LSTM with improved motion estimation

A method of communication for the deaf and the dumb is sign language (SL). Knowing SL allows speakers and listeners to converse effectively with deaf and dumb people. Yet, while they can acquire si...

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来源期刊

Journal of Experimental & Theoretical Artificial Intelligence 工程技术-计算机：人工智能

CiteScore

6.10

自引率

4.50%

发文量

审稿时长

>12 weeks

期刊介绍： Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers in artificial intelligence (AI) research. The journal features work in all subfields of AI research and accepts both theoretical and applied research. Topics covered include, but are not limited to, the following: • cognitive science • games • learning • knowledge representation • memory and neural system modelling • perception • problem-solving